Maha Shah is a Senior Data Analyst at the Resource Productivity and Recovery Authority (RPRA) with experience in driving data-informed decision-making in the public sector. With a strong background in data governance, policy, and stakeholder engagement, Maha leads cross-functional initiatives to turn complex data into actionable insights. Passionate about using data to improve public programs and services, she brings a practical and collaborative approach to solving real-world challenges through analytics.
Day 1: Oct 14, 2025
1:45 pm
PANEL: AI IN REGULATORY DECISION-MAKING
Building MVPs for AI-Driven Application Processing in Canadian Regulatory Bodies
As regulatory bodies increasingly explore AI for decision-making, developing Minimum Viable Products (MVPs) that align with compliance, transparency, and fairness is critical. Design AI solutions that support regulatory application processing while maintaining public trust. Master the success factors to:
- Leverage past precedents and data analysis to drive efficiency and inform decision-making.
- Ensure transparency, fairness, and explainability in AI-driven decision-making.
- Build cross-functional collaboration among technologists, policymakers, and regulators.
Advance the use of AI to scale efficient and responsible decision-making for Canadian citizens.
Day 2: Oct 22, 2025
